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- Title
Genetic Algorithm for Employees Work from Office Schedule.
- Authors
Fauzi, Muhammad Rizky; Vidya Krishna, Made Gde; Hidayat, Hardi; Mulyani, Laras; Khasanah, Septiani Nur; Murnawan
- Abstract
Scheduling is nothing new for every company. During the Covid-19 pandemic, many things have changed, especially in the implementation of employee scheduling in the world of work. Changes were made to the employee attendance schedule to reduce the impact of the spread of the virus in the current covid-19 pandemic. Every company enforces rules for employees to be able to work from home. However, not every company employee is required to work from home, only a few employees from the company have been scheduled to work at home and some will work in the office as usual. This research was conducted with the aim of making it easier for companies to monitor employees and provide information about scheduling to employees during this covid-19 pandemic. The Genetic Algorithm For Employees, can assist employees in providing information about their attendance schedule and provide good value for the company. The research method used in this research is the documentation study method and the scheduling model uses genetic algorithms. The purpose of the application of genetic algorithms is to produce a scheduling system modeling that is fast and processed automatically without breaking the rules that have been set. The optimal solution of this scheduling applies 40% (Work From Office), 50% (Work From Home), 10% (employees who are required to go to the office urgently).
- Subjects
GENETIC algorithms; WORKING hours; OFFICE environment; TELECOMMUTING; EMPLOYEE rules; EMPLOYEE surveillance
- Publication
Central Asia & the Caucasus (14046091), 2022, Vol 23, Issue 1, p4809
- ISSN
1404-6091
- Publication type
Article
- DOI
10.37178/ca-c.23.1.379